Correlation Between Aston Martin and Great Wall
Can any of the company-specific risk be diversified away by investing in both Aston Martin and Great Wall at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Aston Martin and Great Wall into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aston Martin Lagonda and Great Wall Motor, you can compare the effects of market volatilities on Aston Martin and Great Wall and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Aston Martin with a short position of Great Wall. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aston Martin and Great Wall.
Diversification Opportunities for Aston Martin and Great Wall
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Aston and Great is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding Aston Martin Lagonda and Great Wall Motor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great Wall Motor and Aston Martin is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Aston Martin Lagonda are associated (or correlated) with Great Wall. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great Wall Motor has no effect on the direction of Aston Martin i.e., Aston Martin and Great Wall go up and down completely randomly.
Pair Corralation between Aston Martin and Great Wall
Assuming the 90 days horizon Aston Martin Lagonda is expected to under-perform the Great Wall. But the pink sheet apears to be less risky and, when comparing its historical volatility, Aston Martin Lagonda is 1.13 times less risky than Great Wall. The pink sheet trades about -0.1 of its potential returns per unit of risk. The Great Wall Motor is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 125.00 in Great Wall Motor on August 28, 2024 and sell it today you would earn a total of 35.00 from holding Great Wall Motor or generate 28.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Aston Martin Lagonda vs. Great Wall Motor
Performance |
| Timeline |
| Aston Martin Lagonda |
| Great Wall Motor |
Aston Martin and Great Wall Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Aston Martin and Great Wall
The main advantage of trading using opposite Aston Martin and Great Wall positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aston Martin position performs unexpectedly, Great Wall can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Great Wall will offset losses from the drop in Great Wall's long position.| Aston Martin vs. Geely Automobile Holdings | Aston Martin vs. Guangzhou Automobile Group | Aston Martin vs. Dowlais Group plc | Aston Martin vs. NFI Group |
| Great Wall vs. Mitsubishi Motors Corp | Great Wall vs. Geely Automobile Holdings | Great Wall vs. Hyundai Motor Co | Great Wall vs. Volkswagen AG 110 |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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